Abstract:
:We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particular, how blocking to a previously conditioned stimulus in the presence of the unconditional stimulus, can emerge as a dynamical property of the network. We also propose experiments to test the new model.
journal_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Goel P,Gelperin Adoi
10.1007/s10827-006-8097-7subject
Has Abstractpub_date
2006-12-01 00:00:00pages
259-70issue
3eissn
0929-5313issn
1573-6873journal_volume
21pub_type
杂志文章abstract::During posture control, reflexive feedback allows humans to efficiently compensate for unpredictable mechanical disturbances. Although reflexes are involuntary, humans can adapt their reflexive settings to the characteristics of the disturbances. Reflex modulation is commonly studied by determining reflex gains: a set...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0278-8
更新日期:2011-06-01 00:00:00
abstract::We introduce a method for computing probabilities for spontaneous activity and propagation failure of the action potential in spatially extended, conductance-based neuronal models subject to noise, based on statistical properties of the membrane potential. We compare different estimators with respect to the quality of...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-015-0586-0
更新日期:2016-02-01 00:00:00
abstract::We develop a new computationally efficient approach for the analysis of complex large-scale neurobiological networks. Its key element is the use of a new phenomenological model of a neuron capable of replicating important spike pattern characteristics and designed in the form of a system of difference equations (a map...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/B:JCNS.0000037683.55688.7e
更新日期:2004-09-01 00:00:00
abstract::We investigated the effect of mean firing on the information rate of a spiking motion-sensitive neuron in the fly (H1-cell). In the control condition, the cell was stimulated repeatedly by identical zero-symmetrical white-noise motion. The mean firing rate was manipulated by adding a constant velocity offset either in...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1011225232120
更新日期:2001-03-01 00:00:00
abstract::Firing-rate models provide a practical tool for studying signal processing in the early visual system, permitting more thorough mathematical analysis than spike-based models. We show here that essential response properties of relay cells in the lateral geniculate nucleus (LGN) can be captured by surprisingly simple fi...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-013-0456-6
更新日期:2013-12-01 00:00:00
abstract::Networks of spiking neurons can have persistently firing stable bump attractors to represent continuous spaces (like temperature). This can be done with a topology with local excitatory synapses and local surround inhibitory synapses. Activating large ranges in the attractor can lead to multiple bumps, that show repel...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-020-00758-1
更新日期:2020-08-01 00:00:00
abstract::Within the theory that describes the hippocampus as a device for the on-line storage of complex memories, the crucial autoassociative operations are ascribed mainly to the recurrent CA3 network. The CA3-to-CA1 connections may still be important, both in completing information retrieval and in re-expanding, with minima...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/BF00961437
更新日期:1995-09-01 00:00:00
abstract::Networks of hippocampal interneurons, with pyramidal neurons pharmacologically disconnected, can generate gamma-frequency (20 Hz and above) oscillations. Experiments and models have shown how the network frequency depends on excitation of the interneurons, and on the parameters of GABAA-mediated IPSCs between the inte...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1008839312043
更新日期:1997-04-01 00:00:00
abstract::Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-017-0636-x
更新日期:2017-04-01 00:00:00
abstract::We address how spatial frequency selectivity arises in Macaque primary visual cortex (V1) by simulating V1 with a large-scale network model consisting of O(10(4)) excitatory and inhibitory integrate-and-fire neurons with realistic synaptic conductances. The new model introduces variability of the widths of subregions ...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-008-0110-x
更新日期:2009-04-01 00:00:00
abstract::The resistive or non-resistive nature of the extracellular space in the brain is still debated, and is an important issue for correctly modeling extracellular potentials. Here, we first show theoretically that if the medium is resistive, the frequency scaling should be the same for electroencephalogram (EEG) and magne...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0263-2
更新日期:2010-12-01 00:00:00
abstract::The calcium calmodulin dependent kinase (CaMKII) is important for long-term potentiation at dendritic spines. Photo-activatable GFP (PaGFP) - CaMKII fusions were used to map CaMKII movements between and within spines in dissociated hippocampal neurons. Photo-activated PaGFP (GFP*) generated in the shaft spread uniform...
journal_title:Journal of computational neuroscience
pub_type: 历史文章,杂志文章
doi:10.1007/s10827-011-0377-1
更新日期:2012-08-01 00:00:00
abstract::Retinal ganglion cells (RGCs) display differences in their morphology and intrinsic electrophysiology. The goal of this study is to characterize the ionic currents that explain the behavior of ON and OFF RGCs and to explore if all morphological types of RGCs exhibit the phenomena described in electrophysiological data...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-013-0463-7
更新日期:2014-04-01 00:00:00
abstract::The original version of this article unfortunately has some typographical errors in equations (5), (6), (7), (8), and (12). ...
journal_title:Journal of computational neuroscience
pub_type: 已发布勘误
doi:10.1007/s10827-020-00759-0
更新日期:2020-08-01 00:00:00
abstract::Following a flashed stimulus, I show that a simple neurophysiological mechanism in the primary visual system can generate orientation selectivity based on the first incoming spikes. A biological model of the lateral geniculate nucleus generates an asynchronous wave of spikes, with the most strongly activated neurons f...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1027420012134
更新日期:2003-11-01 00:00:00
abstract::Rhythmic bursting activity, found in many biological systems, serves a variety of important functions. Such activity is composed of episodes, or bursts (the active phase, AP) that are separated by quiescent periods (the silent phase, SP). Here, we use mean field, firing rate models of excitatory neural network activit...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-006-8862-7
更新日期:2006-12-01 00:00:00
abstract::Many neuronal systems exhibit slow random alternations and sudden switches in activity states. Models with noisy relaxation dynamics (oscillatory, excitable or bistable) account for these temporal, slow wave, patterns and the fluctuations within states. The noise-induced transitions in a relaxation dynamics are analog...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-009-0178-y
更新日期:2010-02-01 00:00:00
abstract::Neuron modeling may be said to have originated with the Hodgkin and Huxley action potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over the ensuing decades, these approaches have led to a massive development of increasingly accurate and complex data-based models of neurons and ne...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章,评审
doi:10.1007/s10827-016-0623-7
更新日期:2017-02-01 00:00:00
abstract::A number of tests exist to check for statistical significance of phase synchronisation within the Electroencephalogram (EEG); however, the majority suffer from a lack of generality and applicability. They may also fail to account for temporal dynamics in the phase synchronisation, regarding synchronisation as a consta...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-012-0428-2
更新日期:2013-06-01 00:00:00
abstract::When two-frame apparent motion stimuli are presented with an appropriate inter-stimulus interval (ISI), motion is perceived in the direction opposite to the actual image shift. Herein, we measured a simple eye movement, ocular following responses (OFRs), in macaque monkeys to examine the ISI reversal effect on oculomo...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-020-00756-3
更新日期:2020-07-17 00:00:00
abstract::Models of electrical activity in excitable cells involve nonlinear interactions between many ionic currents. Changing parameters in these models can produce a variety of activity patterns with sometimes unexpected effects. Further more, introducing new currents will have different effects depending on the initial para...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-016-0600-1
更新日期:2016-06-01 00:00:00
abstract::In this paper, we systematically investigate both the synfire propagation and firing rate propagation in feedforward neuronal network coupled in an all-to-all fashion. In contrast to most earlier work, where only reliable synaptic connections are considered, we mainly examine the effects of unreliable synapses on both...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0279-7
更新日期:2011-06-01 00:00:00
abstract::Deep brain stimulation (DBS) of the subthlamic nucleus (STN) represents an effective treatment for medically refractory Parkinson's disease; however, understanding of its effects on basal ganglia network activity remains limited. We constructed a computational model of the subthalamopallidal network, trained it to fit...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0225-8
更新日期:2010-06-01 00:00:00
abstract::We developed a physiologically plausible model of the first steps of spatial visual information processing in the fovea of the human retina. With the predictions of this model we could support the hypothesis that, for moderate contracts (< or = 40%), hyperacuity is mediated by the magnocellular (MC-) pathway. Despite ...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/BF00158338
更新日期:1996-03-01 00:00:00
abstract::The goal of this paper is to design experiments that confirm the evidence of cognitive responses in functional near infrared spectroscopy and to establish relevant spectral subbands. Hemodynamic responses of brain during single-event trials in an odd-ball experiment are measured by functional near infrared spectroscop...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-005-5478-2
更新日期:2005-01-01 00:00:00
abstract::Inhibitory networks are now recognized as being the controllers of several brain rhythms. However, experimental work with inhibitory cells is technically difficult not only because of their smaller percentage of the neuronal population, but also because of their diverse properties. As such, inhibitory network models w...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-005-0331-1
更新日期:2005-06-01 00:00:00
abstract::Characterizing how different cortical rhythms interact and how their interaction changes with sensory stimulation is important to gather insights into how these rhythms are generated and what sensory function they may play. Concepts from information theory, such as Transfer Entropy (TE), offer principled ways to quant...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0236-5
更新日期:2010-12-01 00:00:00
abstract::The kinematics of the hand and fingers were studied during various keystrokes in typing. These movements were defined by 17 degrees of freedom of motion, and methods were developed to identify simplifying strategies in the execution of the task. Most of the analysis was restricted to the 11 degrees of freedom of the f...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1008812426305
更新日期:1997-01-01 00:00:00
abstract::Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and perform complex behaviors. Because cognitive processes involve large, distributed networks of brain areas, principled examinations of multi-n...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-017-0672-6
更新日期:2018-02-01 00:00:00
abstract::With the advancement in computer technology, it has become possible to fit complex models to neuronal data. In this work, we test how two methods can estimate parameters of simple neuron models (passive soma) to more complex ones (neuron with one dendritic cylinder and two active conductances). The first method uses c...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1026531603628
更新日期:2000-11-01 00:00:00